使用ChatGPT来促进胎儿心声图的转诊
Lital Gordin Kopylov1,2,3, Itai Goldrat1,2,3, Ron Maymon1,2,3
1Obstetrical Unit, Shamir Medical Center (formerly Assaf Harofeh Medical Center), Zerifin, Israel.
Fetal diagnosis and therapy
|June 4, 2024
概括
人工智能 (AI) 与专家在改进先天性心脏缺陷 (CHD) 的胎儿心声学转诊方面表示适度的同意. 人工智能可以通过识别更轻微的冠状动脉疾病来帮助临床医生,但需要临床指导.
科学领域:
- 医学技术 医学技术 医学技术
- 医疗保健中的人工智能
- 心脏病学 心脏病学
背景情况:
- 调查OpenAI的GPT-4作为医疗决策支持工具的实用性.
- 专注于其精确性,以改进胎儿心声学 (FE) 对先天性心脏缺陷 (CHD) 的转诊.
研究的目的:
- 评估人工智能 (AI) 在完善胎儿心声学 (FE) 推的准确性.
- 将AI的推建议与人类专家的推建议进行比较,以检测先天性心脏缺陷 (CHD).
主要方法:
- 59个过去的FE转案案例的回顾性评估.
- 基于既定指南,AI建议与儿科心脏病学家和妇科医生 (人类专家) 的比较.
- 分析人工智能和专家之间的协议,专家解决差异.
主要成果:
- 在59.0%的病例中,AI建议FE,而心脏病学家的47.5%,妇科医生49.2%.
- 人工智能与人类专家约有80.0%的一致性 (p < 0.001).
- 人工智能建议在轻微的冠状动脉疾病 (64.7%) 中使用更多的FE,而专家则建议在所有主要的冠状动脉疾病 (100%) 中使用FE,而人工智能则建议使用FE (90.9%).
结论:
- 人工智能和人类专家之间在改进FE推方面存在适度的协议.
- 人工智能的当前局限性包括上下文误解和缺乏专业医疗知识,需要临床指南整合.
- 人工智能显示出作为决策辅助工具的潜力,特别是在识别小CHD的潜在病例时.
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